One of the most important trends in business in recent years has been the growth of Big Data and predictive analytics. The trend started with traditional analytics and the emergence of decision support systems. With advances in machine learning (ML), systems can now take in large amounts of data, learn how human decision-makers have made decisions in the past, and make decisions autonomously (achieving human-level or superhuman performance in many activities). …Read More
Climate change remains a grand challenge of our time. Numerous actors relevant to business—both public and private—have worked to reduce or otherwise mitigate greenhouse gas emissions, and to focus management attention on the issue of climate change.…Read More
Increasingly, corporations are investing in entrepreneurial firms. This trend has not been overlooked by researchers in the management literature, but the majority of research studying the effects of corporate venture capital (CVC) overwhelmingly takes the perspective of the organization with the venture capital operation. …Read More
In this project, we seek to update the statistical paradigm for conducting A/B tests in the 21st century. In particular, we plan to develop a statistical framework that takes the guesswork out of deciding when to stop an experiment and to calibrate a firm’s decision thresholds based on their own historical data.…Read More
Standard economic theory recognizes a trade-off inherent in intellectual property protection between increased incentives for firms to innovate due to potential monopoly rights and the deadweight loss from those rights.…Read More
Over the last two decades many categories of services have shifted from the traditional to the digital format, including music, news, job postings, and dating, among many others. Meanwhile, the sale of products has shifted significantly from physical to online channels, including clothing, toys, cosmetics, and even food.…Read More
This project considers whether CEOs and other top managers whose professional backgrounds are in private equity undertake different and/or more successful acquisitions and divestitures than CEOs and other top managers who do not have professional backgrounds in private equity.…Read More
This study aims to understand how firm ownership and governance influence the adoption of disruptive technologies in the early stages of the technology cycle. There is a growing recognition that owners have different goals and motivations that in turn, shape the strategic direction of the firms they control.…Read More
We plan to study the role of strategic delegation in the patent licensing process. In particular, we will examine the contractual terms of a large database of pharmaceutical drug license arrangements (royalty rates, contingencies, royalty bases, etc…), as well as which contractual terms were redacted versus non-redacted.…Read More
The project analyzes the regulatory and governance implications of cryptocurrencies, blockchain-based systems, and distributed ledger technologies. …Read More
What is the impact of deploying an analytics solution on firm output? How is this impact generated by the firm? We use data from over 1,000 firms to estimate the causal impact of analytics and benchmarking on firm performance.…Read More
This project examines gender differences in founder’s human resource (HR) strategy and how such differences impact business outcomes, focusing on nascent ventures in high-tech innovative industries.…Read More
Questions and concerns about the replicability and generalizability of social science research are prominent today, and the management field is just starting to grapple with these issues. …Read More
As firms look to innovate, attention must be paid to the role cultural diversity (e.g. racial and gender diversity) plays in consumer interest in new products. In today’s society, firms need an understanding of how diversity can be used as an asset to engage consumers with their brands.…Read More
We propose to study the impact of technological innovations in last-mile delivery on health care access, cost, and quality. To this end, we will examine the introduction of drones to deliver blood and other medical supplies to isolated areas in Rwanda.…Read More
We study how retail stores’ multi-dimensioned service levels affect consumers’ buying behavior in a spatial setting. To this end, we propose the Double Block-Lasso BLP estimator, which combines the double selection procedure introduced in Belloni, Chernozhukov, and Hansen (2014), with demand estimation methods set forth in Berry, Levinsohn and Pakes (1995).…Read More
We seek to explore how individuals evaluate the uncertainty during the nascent period of industry disruption, and to identify factors that can help improve their forecasting accuracy. To do so, we will draw on a recently developed research methodology of forecasting tournaments.…Read More
A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. …Read More
The modern knowledge economy depends crucially on innovation, but adaptation to innovation has been linked to economic ills such as wage inequality, skill polarization, and geographic divergence. Between 2000 and 2016 alone, the U.S. shed approximately 6 million manufacturing jobs largely as a result of increasing pressure from automation and international trade.…Read More
Gender lens investing (GLI) is part of the broader “ethical capitalism” movement, in which social ills are mitigated through markets, finance, and corporate activity. …Read More
